AI RESEARCH
Revisiting Unknowns: Towards Effective and Efficient Open-Set Active Learning
arXiv CS.LG
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ArXi:2603.07898v1 Announce Type: cross Open-set active learning (OSAL) aims to identify informative samples for annotation when unlabeled data may contain previously unseen classes-a common challenge in safety-critical and open-world scenarios. Existing approaches typically rely on separately trained open-set detectors,